Cyclic Reformulation Based System Identification for Periodically Time-varying Systems
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929715080593408 |
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| author | Okajima, Hiroshi Fujimoto, Yusuke Oku, Hiroshi Kondo, Haruto |
| author_facet | Okajima, Hiroshi Fujimoto, Yusuke Oku, Hiroshi Kondo, Haruto |
| contents | This paper addresses a system identification for linear periodically time-varying plants in the discrete-time setting. A system identification algorithm for linear, periodically time-varying plants is introduced based on a cyclic reformulation and a state coordinate transformation of the cycled system. By using our system identification algorithm, the high-accuracy model of the periodically time-varying plant can be obtained without using specific periodic input signals. The effectiveness of the proposed algorithm is demonstrated with numerical examples. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_00318 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Cyclic Reformulation Based System Identification for Periodically Time-varying Systems Okajima, Hiroshi Fujimoto, Yusuke Oku, Hiroshi Kondo, Haruto Systems and Control This paper addresses a system identification for linear periodically time-varying plants in the discrete-time setting. A system identification algorithm for linear, periodically time-varying plants is introduced based on a cyclic reformulation and a state coordinate transformation of the cycled system. By using our system identification algorithm, the high-accuracy model of the periodically time-varying plant can be obtained without using specific periodic input signals. The effectiveness of the proposed algorithm is demonstrated with numerical examples. |
| title | Cyclic Reformulation Based System Identification for Periodically Time-varying Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2411.00318 |